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FINAI by Synlabs
Ultra-low latency predictive ML layer
FINAI 2.0 — an ultra-low-latency predictive ML layer for markets. Feature engineering → training → strict no-look-ahead sim → inference, in Rust/C++ at 4–50 µs/tick, enabling tick-level backtesting. Per-bar signals (probabilities + raw) across tickers & timeframes, asset-agnostic, strictly causal. Transparent by design: live public board + immutable S3 audit trail — every signal timestamped, independently verifiable. For market makers, execution desks & systematic funds.
About FINAI by Synlabs on Product Hunt
“Ultra-low latency predictive ML layer”
FINAI by Synlabs was submitted on Product Hunt and earned 0 upvotes and 3 comments, placing #151 on the daily leaderboard. FINAI 2.0 — an ultra-low-latency predictive ML layer for markets. Feature engineering → training → strict no-look-ahead sim → inference, in Rust/C++ at 4–50 µs/tick, enabling tick-level backtesting. Per-bar signals (probabilities + raw) across tickers & timeframes, asset-agnostic, strictly causal. Transparent by design: live public board + immutable S3 audit trail — every signal timestamped, independently verifiable. For market makers, execution desks & systematic funds.
On the analytics side, FINAI by Synlabs competes within Fintech and Artificial Intelligence — topics that collectively have 521k followers on Product Hunt. The dashboard above tracks how FINAI by Synlabs performed against the three products that launched closest to it on the same day.
Who hunted FINAI by Synlabs?
FINAI by Synlabs was hunted by Nikita. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of FINAI by Synlabs including community comment highlights and product details, visit the product overview.
Hey Product Hunt! 👋 Nikita here, CEO of Synlabs.
We built FINAI 2.0 out of frustration: serious research on market microstructure needs tick-level simulation, and Python just can't run it at scale. So we rebuilt the whole pipeline — feature engineering → training → strict no-look-ahead simulation → production inference — in Rust/C++, at 4–50 µs per tick. That speed is the unlock: we can backtest at tick resolution, honestly, with no look-ahead.
The engine emits per-bar predictive signals across assets and timeframes — from crypto ticks to US equities. The part we care about most: you don't have to trust us. There's a live public board with a real-time signal stream and an immutable S3 audit trail — every signal timestamped and independently verifiable.
We're a small team a bit obsessed with causal, no-leakage ML — we publish only what survives out-of-sample. Would genuinely love feedback, especially from anyone who's fought the same latency / look-ahead battles. Happy to answer anything 🙏
— Nikita